Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence

SUPSI DTI (Department of Innovative Technologies)

Ticino, Switzerland

Present - 2020

• MSc student co-supervision and expert at MSc thesis presentation.
• Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).

Tutor, Demonstrator, Mentor and Consultant in Statistics

University of St Andrews, University of Essex, Tutorful Ltd.

St Andrews & Colchester, UK

Present - 2014

• Tutor and lead demonstrator in statistics, computer science, psychology and biology (R, Python, Matlab and SPSS).
• Tutor in statistics and GIS at CEED (Centre for Educational Enhancement and Development).
• 250+ hours taught in person and online.
• ILM level 3 Coaching and Mentoring certified mentor.

Co-founder, Administrator & Data Analyst

EARFLY Sagl

Ticino, Switzerland

Present - 2017

• Flight board and drone noise analyst (R, Python, Matlab).
• Media, marketing and business management.
• Partnerships with sponsors and suppliers.
• Patent application.

Co-founder and Instructor

Guidare con Stile Sagl

Ticino, Switzerland

2020 - 2011

• Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
• Facilitating group discussion on relevant road issues.
• Organizing meetings with other co-founders.

Data Scientist and Software Engineer

SUPSI Earth Science Institute

Ticino, Switzerland

2016 - 2013

• Big multivariate time series analysis.
• Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
• Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.

CREEM Scholarship

PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.

N/A

Present - 2017

National Geographic Standard Grant

Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.

N/A

2020 - 2019

EPSRC Impact Acceleration Account

Grant of £2500 to finance part of the technology development of my PhD.

N/A

2019

PhD Student in Statistics & Statistical Computing

University of St Andrews, CREEM

Scotland, UK

Present - 2017

• New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
• Analysis of drone noise and flight data (R, Python, Matlab)
• Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
• Successful National Geographic Standard Grant and EPSRC IAA applications.
• Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.

MSc in Applied Statistics (Marine Mammal Science)

University of St Andrews

Scotland, UK

2017 - 2016

• New R-implemented methodology that automates labour-intensive and time-consuming GIS spatial calculations as well as constructs density surfaces based on model predictions.
• Software development and parallel computing.

MSc in Applied Statistics (Biogeoscience)

University of Essex

Essex, UK

2015 - 2014

• New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
• Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.

BSc in Biology

ETH Zürich

Zürich, Switzerland

2013 - 2010

Habitat partitioning in sympatric delphinids around the Falkland Islands: predicting distributions based on a limited dataset.

N/A

N/A

2020

Improving estimates of primary production in lakes: a test and a case study from a peri-alpine lake (Lake Lugano).

N/A

N/A

2017

Protocols for the Quantification of Dimethyl Sulfide (DMS) and Other Volatile Organic Compounds in Aquatic Environments.

N/A

N/A

2017

Quantification of dimethyl sulfide (DMS) production in the sea anemone Aiptasia sp. to simulate the sea-to-air flux from coral reefs.

N/A

N/A

2017